marketing data engineer

a.s.r. Verzekeringen

<div><p>Wil jij complexe databronnen samenbrengen tot &eacute;&eacute;n krachtig klantbeeld? En bouwen aan een modern marketingdataplatform? Word Data Engineer bij a.s.r. in Utrecht!</p></div>
<br><div><p>Als Marketing Data Engineer bij a.s.r. werk je aan een toekomstbestendig dataplatform waarin real‑time webdata samenkomt met klant‑ en verzekeringsdata. Je ontwikkelt en beheert datapijplijnen die ervoor zorgen dat data veilig, schaalbaar en betrouwbaar beschikbaar is voor onze marketingteams. Je werkt nauw samen met Business Analisten, Marketeers en Web Analisten en vertaalt hun behoeften naar sterke dataproducten. De uitdaging ligt in het combineren van verschillende databronnen, het waarborgen van kwaliteit en het bouwen van oplossingen die direct bijdragen aan betere inzichten en klantbeleving. Je krijgt ruimte om technisch te groeien en impact te maken in een data‑gedreven omgeving. Wil jij werken aan slimme datastromen met directe impact op marketing en klantinzichten? Solliciteer dan nu als Data Engineer bij a.s.r.!</p></div>
<br><div></div><div><div>Dit ga je doen als Data Engineer bij a.s.r.</div><div></div><div>
<ul><li>je vertaalt samen met Business Analisten, Marketeers en Web Analisten behoeften naar robuuste dataproducten
</li><li>je ontwerpt, ontwikkelt, test en implementeert schaalbare datapipelines en API‑oplossingen op het Azure‑platform
</li><li>je werkt met Azure‑tools zoals Data Factory, Eventhub, Functions, SQL DB, Synapse, Data Lake Storage en Databricks
</li><li>je integreert marketing- en gedragsdata met klant- en verzekeringsdata voor een compleet klantbeeld
</li><li>je automatiseert build-, test- en deployprocessen met Azure DevOps, Git en CI/CD</li></ul></div></div>
<br><div></div><div><div>Dit bieden we je</div><div>
</div><div></div><div><div><div>Salaris en extra's</div><div></div><div>
een bruto salaris van &euro; 4.600 - &euro; 6.600 op basis van 38 uur per week, een 13e maand en 8% vakantievergoeding. Een thuiswerkvergoeding en korting op verzekeringen</div></div></div><div>
</div><div></div><div><div><div>Pensioen</div><div></div><div>
een goede pensioenregeling met veel flexibiliteit en een hoge bijdrage van de werkgever</div></div></div><div>
</div><div></div><div><div><div>Werkplek</div><div></div><div>
hybride werken: gemiddeld tenminste 40% op kantoor en veel ruimte om je eigen werktijden te bepalen</div></div></div><div>
</div><div></div><div><div><div>Reizen</div><div></div><div>
een NS-Business Card met vrij reizen (ook priv&eacute;) of een kilometervergoeding</div></div></div><div>
</div><div></div><div><div><div>Persoonlijke ontwikkeling</div><div></div><div>
veel aandacht voor je ontwikkeling, je inzetbaarheid en je gezondheid</div></div></div><div>
</div><div></div><div><div><div>Impact maken</div><div></div><div>
werk waarmee je een positieve invloed hebt op de samenleving van morgen; samen stropen we onze mouwen op voor een eerlijkere en duurzamere toekomst</div></div></div><div>
</div><div></div><div><div><div>Begeleiding test</div><div></div><div>
Test</div></div></div></div><div></div>
<br><div></div><div><div>Deze vacature is echt iets voor jou, want jij</div><div></div><div>
<ul><li>hebt tenminste hbo werk- en denkniveau en minimaal drie jaar ervaring als Data Engineer
</li><li>hebt ervaring met Azure‑tools en DevOps‑platformen zoals Azure DevOps en Git
</li><li>hebt kennis van datamodellering, datatransformatie en het beheren van databronnen
</li><li>hebt ervaring met real‑time datastromen en het ontwikkelen van API&rsquo;s
</li><li>werkt comfortabel met Python (PySpark) en SQL</li></ul></div></div>
<br><div></div><div><div>Hier ga je werken als Data Engineer in Utrecht</div><div></div><div>
<p>Je werkt in een multidisciplinair scrumteam binnen Digital &amp;IT dat volgens SAFe‑principes werkt. Het team bestaat uit circa 12 collega&rsquo;s met verschillende expertises. Samen werken jullie aan een modern en betrouwbaar dataplatform dat continu wordt verbeterd. De samenwerking is open en betrokken: je werkt deels op kantoor en deels vanuit huis en hebt veel contact met collega&rsquo;s uit verschillende disciplines. Er is ruimte om te leren, initiatief te nemen en nieuwe oplossingen te ontwikkelen. Werken bij a.s.r. heeft nog meer voordelen, waaronder een fijne werksfeer, &eacute;n een uitstekende werk-priv&eacute;balans.</p></div></div>

Data Engineer

LexisNexis Risk Solutions

<p></p><div><p><b>Are you passionate about building trusted customer data foundations that power meaningful marketing decisions?
</b></p><p><b>Would you like to shape scalable data pipelines and models that improve customer journeys, analytics, and business outcomes?
</b></p><p></p><p><b>About the Business
</b></p><p>LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication &amp; Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, LexisNexis Risk Solutions | Transform Your Risk Decision Making
</p><p></p><p><b>About our Team
</b></p><p>This role acts as the technical backbone for the Marketing Hub &mdash; partnering closely with analytics, MarTech, and digital teams to deliver the pipelines, data models, and governance frameworks that support personalisation, measurement, experimentation, and strategic decision‑making. The Data Engineer ensures data is not only accurate and compliant but designed for high performance and long‑term growth.
</p><p></p><p><b>About the Role
</b></p><p>The Data Engineer plays a foundational role in enabling modern, insight‑driven marketing by building and maintaining the data infrastructure that powers the organisation&rsquo;s customer intelligence ecosystem. Working across the <b>Customer Data Platform </b>, <b>journey orchestration capability </b>, and <b>advanced analytics and dashboarding environment </b>, the role ensures that marketing has access to trusted, well‑structured, and scalable data.
</p><p></p><p><b>Responsibilities
</b></p><ul><li><p>Data Architecture &amp; Pipeline Engineering: Build and maintain reliable pipelines integrating customer, campaign, and operational data into the CDP, ensuring accuracy and readiness for analysis
</p></li><li><p>Marketing Data Model Design: Develop scalable models supporting segmentation, lifecycle analytics, attribution, and KPI frameworks
</p></li><li><p>CDP Enablement &amp; Identity Management: Partner with MarTech and Analytics to improve identity resolution, consent logic, and data quality within the CDP
</p></li><li><p>Journey Orchestration Data Readiness: Enable event streams, triggers, and monitoring to support accurate, timely customer journeys
</p></li><li><p>Analytics &amp; Dashboarding Enablement: Provide structured datasets and semantic layers for reporting and dashboards, aligned with KPI frameworks
</p></li><li><p>Data Governance &amp; Quality Assurance: Maintain data quality, lineage, and compliance with GDPR and PII standards
</p></li><li><p>Collaboration &amp; Strategic Influence: Work closely with the Senior Marketing Analyst to align on priorities, translating technical concepts into business insights
</p></li><li><p>Operational Excellence &amp; Standards: Ensure scalable, stable data operations using best practices in automation, observability, and continuous improvement
</p></li></ul><p></p><p><b>Requirements
</b></p><ul><li><p>Advanced SQL, ETL/ELT frameworks, and cloud data platforms such as Azure, AWS, or GCP
</p></li><li><p>Data modelling and pipeline orchestration using tools such as Airflow, Data Factory, dbt, or similar
</p></li><li><p>Integrate CDP data sources across digital, CRM, transactional, and behavioural data; support identity resolution, consent handling, audience activation, journey events, trigger logic, and behavioural signals
</p></li><li><p>Build data marts and semantic layers for dashboarding and BI tools such as Power BI or Tableau; structure datasets optimised for KPI frameworks, attribution, funnel, and lifecycle analytics
</p></li><li><p>Apply data quality frameworks, lineage, cataloguing, and GDPR/PII compliance practices
</p></li><li><p>Design secure data pipelines with monitoring, alerting, and SLA/SLO management
</p></li><li><p>Translate business and marketing needs into clear technical specifications, communicating technical topics clearly to non-technical stakeholders
</p></li><li><p>Partner with analytics, marketing ops, and MarTech teams to own scalable, reliable, trusted customer-data solutions
</p></li></ul><p></p><p><b>Risk benefit statement
</b></p><p>Learn more about the LexisNexis Risk team and how we work
<br>
https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000</p><br>
<p></p>
<p><b>We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click </b><b>here </b><b>to access benefits specific to your location.
</b></p><p></p><p>We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
</p><p></p><p><b>Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams </b><b>here </b><b>.
</b></p><p></p><p>Please read our Candidate Privacy Policy .
</p><p></p><p>We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
</p><p></p><p><b><i>USA Job Seekers:
</i></b></p><p>EEO Know Your Rights .</p></div><p></p>

Zoopla

<p></p><div>Who We Are<p></p><p>
Zoopla is a leading UK property website and trusted consumer brand, empowering movers to make better property decisions with over nine million monthly users generating over one billion annual property searches.</p><p></p><p>
Zoopla is more than a property portal. Over 5 million homeowners are subscribers, tracking their property values and providing a pipeline of movers for Zoopla&rsquo;s customers (estate agents and housebuilders). The business is investing in leveraging its scale and reach to build new, AI-driven experiences that engage movers and unlock value and a strong return on investment for customers.</p><p></p><p>
Our guiding behaviours define how we work together and what we expect from one another. These behaviours are to keep it simple, take ownership, make it better and win together. We strive for progress not perfection and have no doubt that we can achieve our ambitions if we focus on the right things, give it our all and do it together.</p><p></p>
What You&rsquo;ll Do<p>
Our Data &amp; Analytics Team powers data-driven decision-making across Zoopla. As a core member of this technical squad, you will implement, maintain, and optimise the tracking solutions that allow our Product, Engineering, and Marketing teams to self-serve. You are a hands-on problem solver and the trusted voice of authority for how data should be captured and routed across the business.<br>
<br>
<b>Key Responsibilities</b></p><ul><li><b>
Tracking authority for product squads:</b> Act as the subject matter expert for PMs and Developers. Instead of writing every spec for them, you will guide squads on how to design effective tracking, review &amp; approve their specs, and enforce the Zoopla Standard before taking on the implementation.</li><li><b>
Implement &amp; maintain tracking:</b> Own the technical configuration in GTM and Amplitude. You will build out complex tracking setups, ensure events fire efficiently, and proactively monitor data quality across all platforms to keep our analytics reliable.</li><li><b>
Marketing &amp; AdTech integration:</b> Act as the technical gatekeeper for marketing pixels and tags (e.g., Google Ads, Meta, Iterable). You will partner with Growth and Marketing teams to deploy tracking securely, ensuring implementations are optimized for site performance and routed cleanly via GTM or server-side solutions where possible.</li><li><b>
Configure data pipelines:</b> Manage our CDP (Rudderstack). You will be responsible for configuring new destinations, mapping data correctly, and ensuring robust data flow from our apps and website to downstream tools.</li><li><b>
Experimentation SME &amp; troubleshooting:</b> Serve as the technical escalation point for Amplitude Experiment. While squads will run and QA their own A/B tests, you will maintain the core framework (feature flags, assignment logic) and step in to troubleshoot complex setups or debug tricky exposure tracking issues.</li><li><b>
Cross-platform engineering partner:</b> Work directly with App and Web engineers to deploy and debug third-party SDKs. You will act as the technical guide to resolve issues related to identity resolution, latency, or versioning across ecosystems.</li><li><b>
Privacy by design:</b> Take charge of our Consent Management Platform (Usercentrics). You will ensure all new implementations - whether for product analytics or marketing pixels - are inherently GDPR-compliant, mapping tags accurately to consent categories and acting as the gatekeeper for privacy-safe tracking.</li></ul><p><b><br>
Requirements</b></p><ul><li><b>
Technical proficiency:</b> Strong skills in JavaScript. You have a solid, practical understanding of the DOM, browser APIs, data layer logic, and client-side data flows.</li><li><b>
Delivery track record:</b> Proven experience hands-on implementing and managing product analytics tools (e.g. Amplitude, Mixpanel, or PostHog) and tag managers (GTM). You understand the event-driven mindset inside and out.</li><li><b>
CDP experience:</b> Practical experience working with CDPs to route data effectively.</li><li><b>
Consultative execution:</b> You own things end to end. You can look at a business or marketing objective, advise the team on the best tracking approach, and independently see the technical implementation through to deployment.</li><li><b>
Clear communicator:</b> You are comfortable pushing back when standards aren't met and can translate complex technical tracking concepts into plain English to guide non-technical colleagues across Product, Marketing and Engineering.</li><li><b>
Engineering workflows:</b> Comfortable with version control (Git/GitHub/GitLab) and participating in a collaborative codebase.</li><li><b>
Data verification:</b> Ability to write SQL queries to verify data in a warehouse.</li><li><b>
Mobile experience:</b> Hands-on understanding of how tracking and SDKs are implemented across Native React Apps.</li><li><b>
AI-ready:</b> Comfortable using AI tools to speed up day-to-day coding and QA tasks.</li></ul><p><b><br>
Our Stack</b></p><ul><li><b>
Orchestration:</b> GTM, Rudderstack</li><li><b>
Analytics:</b> Amplitude (Analytics + Experiment), GA4.</li><li><b>
Marketing &amp; Ops:</b> Google Ads, Meta, Iterable, Usercentrics, Usabilla, Permutive.</li></ul><p></p>
Where You&rsquo;ll Be<p>
At Zoopla we embrace hybrid working but emphasise the importance of also spending time together. You&rsquo;ll have the opportunity to work remotely (at home) for two days per week with Mondays and Thursdays as all-Zoopla days in the office together plus a third in-office day of your choosing.</p><p></p><p>
Our home in Tower Bridge is a wonderful hub for collaborative and individual working, with space to socialise and exercise. On our doorstep you&rsquo;ll find buzzing Borough, Bankside and Bermondsey, not to mention soaring river views.</p><b><br>
Benefits</b><br>
<ul><li>
Our hybrid setup means you&rsquo;ll join us in the Tower Bridge office 3 days each week</li><li>
25 days annual leave + additional leave benefits Including extra days for length of service, plus other leave perks</li><li>
Cycle to work and electric car schemes</li><li>
Free Calm App membership</li><li>
Enhanced Parental leave</li><li>
Fertility Treatment Financial Support</li><li>
Group Income Protection and private medical insurance</li><li>
Gym on-site in London</li><li>
7.5% pension contribution by the company</li><li>
Discretionary annual bonus up to 10% of base salary</li></ul></div>

Analytics Implementation Engineer

RELX Group

<p></p><div><p><b>Are you motivated to build scalable data solutions that directly shape customer engagement and marketing performance?
</b></p><p></p><p><b>Do you enjoy collaborating across teams to turn complex data into actionable insights and real-time decision making?
</b></p><p></p><h3 class="jobSectionHeader"><b>About the Business
</b></h3><p>LexisNexis&reg; Risk Solutions provides customers with solutions and decision tools that combine public and industry-specific content with advanced technology and analytics to assist in evaluating and predicting risk and enhancing operational efficiency.
</p><p>We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier, and processes more efficient.
</p><p></p><p><b>About Our Team
</b></p><p>The MarTech &ndash; Marketing Automation team is a dynamic group managing several SaaS-based solutions within the Marketing Technology stack for LNRS Data Services.
</p><p></p><p><b>About the Role
</b></p><p>This role focuses on building and optimising data infrastructure that enables advanced marketing and customer data capabilities. You will create scalable pipelines, data models, and governance practices that support analytics, segmentation, and real-time engagement. Working closely with cross-functional teams, you will help deliver reliable, high-quality data solutions that drive business outcomes.
</p><p></p><p><b>Responsibilities
</b></p><ul><li>Build and maintain scalable data pipelines integrating customer, campaign, and operational data into the CDP and marketing data layer
</li><li>Design and manage data models to support segmentation, lifecycle analytics, attribution, and KPI measurement
</li><li>Ensure data quality, consistency, deduplication, and optimisation for analytics and reporting use cases
</li><li>Enable CDP functionality including identity resolution, consent management, and audience readiness
</li><li>Develop event streams and triggers to support customer journey orchestration and real-time decisioning
</li><li>Provide structured datasets and semantic layers for dashboards and advanced analytics
</li><li>Implement data governance practices, including lineage, cataloguing, validation, and GDPR/PII compliance
</li><li>Partner with analytics, MarTech, and marketing teams to align data solutions with business needs
</li></ul><p></p><p><b>Requirements
</b></p><ul><li>Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory)
</li><li>Experience with cloud data platforms (e.g., Azure, AWS, or GCP)
</li><li>Proficiency in data modelling (dimensional, entity-relationship, event-driven)
</li><li>Understanding of marketing data ecosystems, including CDPs, CRM, and behavioural data
</li><li>Experience supporting analytics and BI tools (e.g., Power BI, Tableau) from a data engineering perspective
</li><li>Knowledge of data governance, quality frameworks, and secure data handling (including GDPR/PII)
</li><li>Ability to translate business requirements into scalable technical solutions
</li><li>Strong collaboration and communication skills with technical and non-technical stakeholders
</li></ul><p></p><p>You can learn more about LexisNexis Risk Solutions here:
<br>
LexisNexis Risk Solutions</p><br>
<p><b>We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click </b><b>here </b><b>to access benefits specific to your location.
</b></p><p></p><p>We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
</p><p></p><p><b>Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams </b><b>here </b><b>.
</b></p><p></p><p>Please read our Candidate Privacy Policy .
</p><p></p><p>We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
</p><p></p><p><b><i>USA Job Seekers:
</i></b></p><p>EEO Know Your Rights .</p></div><p></p>

Senior Data Scientist II

StepStone Group LP

<div><b>Company Description</b><p><br>
At The Stepstone Group, we have a simple yet very important mission: <b><i>The right job for everyone</i></b>. Using our data, platform, and technology, we create opportunities for jobseekers and companies around the world to find a perfect match in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring.</p><p>
Join our team of 3,000+ employees and be part of reshaping the labour market and becoming the world&rsquo;s leading job platform.</p><b><br>
Job Description</b><p><br>
Join our team and you&rsquo;ll be responsible for building, maintaining, and optimizing data workflows to drive insights and decision-making in marketing and business operations.</p><p>
Working in the Marketing Data Engineering department, you will develop scalable data pipelines, enhance data quality, and collaborate with stakeholders to deliver high-impact data solutions.</p><p>
Your responsibilities:</p><ul><li><p>
Design, build, and continuously optimize ETL/ELT workflows that power our data landscape &mdash; from ingestion to delivery &mdash; with reliability and scale in mind.</p></li><li><p>
Partner with cross-functional stakeholders to shape datasets that drive informed decisions, leading data modeling, migration planning, and optimization from conception to production.</p></li><li><p>
Proactively monitor, validate, and improve data integrity across our pipelines using modern tooling, so our teams always trust what they're working with.</p></li><li><p>
Own the technical documentation, data specifications, and metadata that keep our datasets accessible and understandable &mdash; enabling self-service across the organisation.</p></li><li><p>
Build and maintain robust integrations with marketing platforms &mdash; including LinkedIn, Google Ads, and Meta &mdash; bringing external signals into our pipelines and making them actionable for the business.</p></li></ul><b><br>
Qualifications</b><ul><li><p><br>
3+ years of experience in Data Engineering or a similar role.</p></li><li><p>
Solid computer science fundamentals &mdash; including data structures, algorithms, distributed systems, and networking &mdash; with the ability to apply first-principles thinking to complex engineering problems.</p></li><li><p>
Strong Python skills for writing clean, efficient, and maintainable data pipelines.</p></li><li><p>
Deep understanding of database internals, query optimization, and storage engines &mdash; with advanced SQL skills across OLAP and OLTP patterns and familiarity with NoSQL data models.</p></li><li><p>
Hands-on experience with cloud services and distributed platforms such as AWS Glue, AWS Lambda, Spark, or equivalent.</p></li><li><p>
Strong grasp of data modeling and modern architectures including Data Lakes and Data Warehouses.</p></li><li><p>
Practical experience with orchestration tools like Airflow or Dagster, alongside Terraform for infrastructure-as-code, CI/CD pipelines, and Git.</p></li></ul><b><br>
Additional Information</b><p><br>
We&rsquo;re a community here that cares as much about your life outside work as how you feel when you&rsquo;re with us. Because your job shouldn&rsquo;t take over your life, it should enrich it. Here are some of the benefits we offer:</p><ul><li><p>
30 days of holidays + 1 Cultural Heritage Day + 2 extra days for Christmas and New Year's Eve</p></li><li><p>
Hybrid working model</p></li><li><p>
Company pension scheme</p></li><li><p>
24/7 Employee Assistance Programme</p></li><li><p>
Life Assurance Cover</p></li><li><p>
Volunteering days</p></li><li><p>
Job bike</p></li><li><p>
Discounted parking or job ticket</p></li><li><p>
In-house gym</p></li><li><p>
In-house barista</p></li><li><p>
And you can bring your dog to the office</p></li></ul><p>
Our commitment</p><p>
Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.</p></div>

Data Engineer (m/f/d)

Hertz

<div>
 <p>
  Design,
  <strong>
   build from the ground up
  </strong>
  , and govern the end‑to‑end
  <strong>
   marketing data foundation
  </strong>
  , including tagging, tracking, data pipelines, and modelling, to create a trusted
  <strong>
   single source of truth
  </strong>
  across brand direct, paid media, social, and CRM.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role is accountable for establishing
  <strong>
   greenfield data flows, standards, and operating models
  </strong>
  , enabling faster, better decision‑making through accurate data, integrated views (GA4, Salesforce, Databricks, COGNOS), and scalable insight products (dashboards, attribution, MMM). Act as the
  <strong>
   primary point of contact
  </strong>
  for all digital tracking and marketing data issues, ensuring
  <strong>
   reliability, compliance, and speed
  </strong>
  across the ecosystem.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Own tagging and tracking standards for web/app (GTM, GA4, CM360/Floodlight, Meta pixel/event manager, consent mode) Define and maintain the marketing KPI dictionary and data model; steward the single source of truth. Define data pipelines between martech platforms and enterprise solutions (Salesforce, COGNOS, Databricks). Set QA/alerting SLAs, prioritise analytics backlog. Advise on experimentation, attribution and MMM, recommend budget reallocations based on evidence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Design and build the marketing data foundation from scratch
   </strong>
   , including tracking architecture, event schemas, identity strategy, and data flows across martech and enterprise platforms.
  </li>
  <li>
   Tagging and implementation: Deploy and audit events, conversions, and consent, server-side GTM evaluation, manage parameter standards and de-duplication rules
  </li>
  <li>
   Platform integrations: Build robust connectors/APIs for GA4, GMP (CM360/DV360/SA360), Meta and other platforms. Unify with Databricks, COGNOS and Salesforce
  </li>
  <li>
   Data engineering: Model clean tables/views, implement data quality checks and documentation
  </li>
  <li>
   Dashboards and reporting: Deliver looker studio and Tableau dashboards, automate recurring reporting, provide training to channel owners
  </li>
  <li>
   Attribution and MMM: Deploy open source MMM (Meta Robyn, Google Meridian), design holdouts, support hybrid attribution and incrementality studies
  </li>
  <li>
   Governance and compliance: Ensure GDPR/Consent compliance, maintain audit trails, partner with legal on risk mitigation
  </li>
  <li>
   Troubleshooting and enablement: Act as a single point of contact for data/tracking issues, triage quickly, run enablement sessions and documentation
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key KPIs
  </strong>
 </p>
 <ul>
  <li>
   Tag coverage rate and accuracy; reduced data discrepancy between platforms and data sources
  </li>
  <li>
   Pipeline uptime and latency SLAs; time to lag and time to insight reductions
  </li>
  <li>
   Dashboard adoption and stakeholder satisfaction
  </li>
  <li>
   Evidence based budget reallocation % driven by MMM/holdouts; lift from incrementality tests
  </li>
  <li>
   Compliance readiness; consent coverage, audit trail completeness
  </li>
  <li>
   Profile and Experience:
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Educational Background:
  </strong>
 </p>
 <ul>
  <li>
   Degree in Computer Science, Analytics or Data Science
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Professional Experience:
  </strong>
 </p>
 <ul>
  <li>
   5-8 years in analytics/data engineering or marketing analytics engineering roles
  </li>
  <li>
   Expertise in GTM/GA4/GMP/Meta tracking; strong SQL, experience with BigQuery or equivalent
  </li>
  <li>
   Hands on APIs
  </li>
  <li>
   Proficiency with dashboarding (Looker studio/Tableau) and at least one scripting language (Python or R)
  </li>
  <li>
   MMM/Attribution exposure (Robyn, Meridian) and understanding of privacy frameworks (GDPR. Consent mode)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills and competencies
  </strong>
 </p>
 <ul>
  <li>
   Structured problem solving, bias to automate and standardise
  </li>
  <li>
   Clear communicator who can translate between technical and commercial stakeholders
  </li>
  <li>
   Strong ownership and prioritisation; able to manage technical backlog and SLAs
  </li>
  <li>
   Documentation discipline; enablement mindset to upskill the wider team
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tools and stack
  </strong>
 </p>
 <ul>
  <li>
   BigQuery, Python/R, GA4, CM360/DV360/SA360, Meta
  </li>
  <li>
   Looker Studio/Tableau, Serverside GTM, privacy and consent platforms
  </li>
  <li>
   Salesforce, COGNOS, Databricks
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Hertz is an equal opportunity employer, all applicants must have the legal right to work in the UK (Valid Passport / Relevant Visa).
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Get:
  </strong>
 </p>
 <ul>
  <li>
   Up to 40% off any standard Hertz Rental in a Corporate country
  </li>
  <li>
   Paid Time Off
  </li>
  <li>
   Employee Assistance Programme for employees and family
  </li>
 </ul>
 <p>
 </p>
</div>


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